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Open-weight model · Text generation

Zrald-AI-qwen-3.8-27b-zraldv1-ac

by Gerald Bustilla Zrald/Zrald-AI-qwen-3.8-27b-zraldv1-ac

Official high-efficiency GGUF release of Qwen3.8-27B optimized for Accuracy Priority Tier. This repository contains zraldv1-ac.gguf (17.08 GiB / 18.34 GB), physically benchmarked on AMD Instinct MI300X hardware.

Parameters—
Context—
Weights18.4 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Gerald Bustilla, published under apache-2.0, revision 9dc821785db7.

Official high-efficiency GGUF release of Qwen3.8-27B optimized for Accuracy Priority Tier. This repository contains zraldv1-ac.gguf (17.08 GiB / 18.34 GB), physically benchmarked on AMD Instinct MI300X hardware. For cross-comparison tables against standard Q80, Q6K, Q5K, Q4K, and Q2K models, visit the master repository: - Base model by the Qwen Team (Alibaba) under Apache 2.0. - Runtime by Georgi Gerganov and the llama.cpp community.

Read Gerald Bustilla's full model card

Zrald-AI Qwen 3.8 27B (zraldv1-ac - Accuracy Priority Tier)

Official high-efficiency GGUF release of Qwen3.8-27B optimized for Accuracy Priority Tier.

This repository contains zraldv1-ac.gguf (17.08 GiB / 18.34 GB), physically benchmarked on AMD Instinct MI300X hardware.

For cross-comparison tables against standard Q8_0, Q6_K, Q5_K, Q4_K, and Q2_K models, visit the master repository: Zrald/Zrald-AI-model-quant-qwen-3.8-27b

Key Performance Indicators

  • Physical File Size: 17.08 GiB (18.34 GB)
  • Accuracy Retention: 99.68%
  • Prompt Processing Throughput: 1,344.4 tok/s
  • Token Generation Velocity: 69.4 tok/s
  • Recommended Minimum VRAM: 20 GB
  • Profile: Highest precision retention (99.68%). Matches or beats Q6_K and Q8_0 in benchmark accuracy while saving ~10 GB VRAM.

Quickstart with llama.cpp

1. Download Model File

huggingface-cli download Zrald/Zrald-AI-qwen-3.8-27b-zraldv1-ac zraldv1-ac.gguf --local-dir ./models

2. Run Single Prompt

./build/bin/llama-cli \
    -m ./models/zraldv1-ac.gguf \
    -ngl 99 \
    -c 4096 \
    -p "<|im_start|>user\nSolve 15 * 14 step-by-step.<|im_end|>\n<|im_start|>assistant\n" \
    -n 128 \
    --single-turn

3. Run Interactive Chat

./build/bin/llama-cli \
    -m ./models/zraldv1-ac.gguf \
    -ngl 99 \
    -c 8192 \
    -cnv

4. Launch OpenAI-Compatible API Server

./build/bin/llama-server \
    -m ./models/zraldv1-ac.gguf \
    -ngl 99 \
    -c 16384 \
    --host 0.0.0.0 \
    --port 8080

Citation & Acknowledgments

  • Base model by the Qwen Team (Alibaba) under Apache 2.0.
  • Runtime by Georgi Gerganov and the llama.cpp community.

Identity and Version

Repository
Zrald/Zrald-AI-qwen-3.8-27b-zraldv1-ac
Publisher
Gerald Bustilla
Task
Text generation
Modality
Text
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
9dc821785db76a13e7d5876564ce75611669ac13
First published
2026-09-18
Last updated
2026-09-18

Files and Weights

3 files, 18.4 GB in total. The weights are 1 file totalling 18.4 GB in gguf.

Weights1 file · 18.4 GB
Documentation1 file · 2.0 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
zraldv1-ac.ggufWeights18.4 GB 0b82b1c087aa
README.mdDocumentation2.0 KB —
.gitattributesRepository1.6 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
18.4 GB
Download from Gerald Bustilla

Released by Gerald Bustilla through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published18.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Zrald-AI-qwen-3.8-27b-zraldv1-ac

Can I use Zrald-AI-qwen-3.8-27b-zraldv1-ac commercially?

Yes. Zrald-AI-qwen-3.8-27b-zraldv1-ac is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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